Note: The job is a remote job and is open to candidates in USA. PrizePicks is a sports company and Daily Fantasy Sports platform serving a diverse range of sports leagues. The Staff Machine Learning Engineer will lead the design, scaling, and productionization of machine learning systems, including low-latency inference services, feature stores, data pipelines, and MLOps capabilities. The role will support real-time decisions across sports betting and daily fantasy ecosystems while improving key platform metrics.
Responsibilities
- **Architect Scalable ML Systems:** Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services
- **Real-Time Inference at Scale:** Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults
- **Feature Engineering & Data Strategy:** Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains
- **End-to-End MLOps Leadership:** Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly
Skills
- 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments
- 3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms
- Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms
- Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMaker
- Expert in Python and SQL
- Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents
- You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time
- Proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers
- Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection
- Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading
- Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams
- While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Benefits
- Company-subsidized medical, dental, & vision plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous paid leave programs, including 16-week paid parental leave and disability benefits
- Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (Windows & Mac options)
- Annual performance reviews with opportunities for growth and career development
Company Overview